A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME

14 citations as recorded by crossref.

1. Automated Framework to Translate Rebar Spatial Information from GPR into BIM Z. Xiang et al. 10.1061/(ASCE)CO.1943-7862.0002141
2. Development of an excavator-avoidance system for buried pipes R. Yajima et al. 10.1080/01691864.2021.2007167
3. Target Electromagnetic Detection Method in Underground Environment: A Review X. Wang et al. 10.1109/JSEN.2022.3175502
4. End-to-end deep learning model for underground utilities localization using GPR Y. Su et al. 10.1016/j.autcon.2023.104776
5. Automatic Detection and Classification of Underground Objects in Ground Penetrating Radar Images Using Machine Learning L. Amaral et al. 10.1061/JPSEA2.PSENG-1444
6. GPR Data Augmentation Methods by Incorporating Domain Knowledge G. Yue et al. 10.3390/app122110896
7. Incremental constraint-based reasoning for estimating as-built electric line routing in buildings Y. Dehbi et al. 10.1016/j.autcon.2022.104571
8. Review of Machine Learning Algorithms for Automatic Detection of Underground Objects in GPR Images L. Amaral et al. 10.1061/(ASCE)PS.1949-1204.0000632
9. Underground Object Classification Using Deep 3-D Convolutional Networks and Multiple Mirror Encoding for GPR Data L. Liu et al. 10.1109/LGRS.2022.3148797
10. Evaluating the optimised YOLO-based defect detection method for subsurface diagnosis with ground penetrating radar J. Zhu et al. 10.1080/14680629.2023.2199880
11. Recognition of hidden distress in asphalt pavement based on convolutional neural network W. Liu et al. 10.1080/10298436.2022.2092617
12. GPR monitoring for road transport infrastructure: A systematic review and machine learning insights M. Rasol et al. 10.1016/j.conbuildmat.2022.126686
13. 3D reconstruction in underground utilities Y. Su et al. 10.1016/j.autcon.2023.105100
14. Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8 N. Wang et al. 10.1109/ACCESS.2024.3365959